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--- |
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license: apache-2.0 |
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tags: |
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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: bart-base-finetuned-summarization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bart-base-finetuned-summarization |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2885 |
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- Rouge1: 31.8585 |
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- Rouge2: 20.7559 |
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- Rougel: 28.879 |
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- Rougelsum: 29.6017 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 1.8516 | 1.0 | 308 | 1.3028 | 29.4331 | 19.2619 | 27.1598 | 28.1099 | |
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| 1.2211 | 2.0 | 616 | 1.2506 | 30.2583 | 19.7126 | 28.1328 | 28.9654 | |
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| 0.911 | 3.0 | 924 | 1.2316 | 29.3854 | 18.6132 | 27.3488 | 28.2225 | |
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| 0.6824 | 4.0 | 1232 | 1.2583 | 32.0664 | 22.0751 | 29.521 | 30.5109 | |
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| 0.542 | 5.0 | 1540 | 1.2885 | 31.8585 | 20.7559 | 28.879 | 29.6017 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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